Renewable sources of energy are the way of the future. One of the primary sources of this alternative form of energy is solar. It’s abundant, it’s clean. It is the fastest-growing renewable energy source in the world, increasing in worldwide capacity by an average of 40 percent every year.
The Internet of Things Technology for supervising solar power generation can greatly enhance the performance, maintenance and monitoring of the plant. IoT can enable us to do intelligent fault detection and power optimization.
Photovoltaic (PV) array analytics and monitor is necessary for remote farms. Monitoring the solar energy incident on the panel can help us evaluate and plan the energy generation. Auxiliary electronics need to be attached to each solar panel to make this monitoring a reality. Real-time data generation of the efficiency of solar panel can help us sense the trend in solar array effectiveness and robustness.
In addition to providing companies with real-time alerts, leveraging IoT in solar energy can lead to improvements in smart metering. This makes energy production more efficient both in terms of cost and logistics. Solar contains a diverse portfolio of rooftop projects located across the city or large scale project installation in remote locations where high sunlight incidence is prevalent.
It is vital to track the data collection. Digital Reach provides the resources and installation expertise to handle the tracking of relevant data. The solar plant data for a range of parameters covering modules, inverters, arrays etc. are captured. The interval at which the data is captured can also be regulated as per the requirement. This data serves as a basic building block for further optimization and assessment of the working of the plant. Necessary changes and adjustments can be done to extract the maximum possible output from the existing installation.
The data which gets collected from the assembly of sensors can provide an array of reports that integrates power generation estimates. Data visualization options can be integrated in the software. The operator or the management can play with the appropriate display of relevant data, KPI construction, dashboards etc. to facilitate easy analysis.
Other operation and maintenance (O&M) details such as log report/ attendance of personnel/ service and other data can be integrated into the dashboard so that the management gets a holistic perspective of at the plant level. Also, the data which has been collected over a period can be integrated to new-age technologies like Machine Learning (ML) and Artificial Intelligence to gather more insights.